ChemML: Understanding groundwater flow and contaminant transport using machine learning
V.V. Vesselinov, T. Kliphuis
American Geophysical Union, San Juan, Puerto Rico2022
Summary
This presentation introduces ChemML as a machine-learning approach for understanding groundwater flow and contaminant transport. It contrasts supervised, unsupervised, and physics-informed methods and emphasizes unbiased feature extraction together with science-informed modeling for environmental data analysis, diagnostics, and prediction.